Eoin Brophy
Computer Vision and Pattern Recognition · 2019–2022
A researcher in the Science corpus: 3 papers; trusts 101 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 52 citations into it; #12,513 of 21,575 by trust here, #18,266 by citations
- Generative Models — 43 citations into it
- Artificial Intelligence — 36 citations into it; #21,891 of 35,345 by trust here, #30,347 by citations
- Signal Processing — 12 citations into it; #4,472 of 7,572 by trust here, #6,836 by citations
- Evaluation & Benchmarks — 9 citations into it
- Biophysics — 6 citations into it
- Cardiology and Cardiovascular Medicine — 6 citations into it
- Cognitive Neuroscience — 5 citations into it
Whom Eoin Brophy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Olof Mogren
- Alex Krizhevsky
- Cristóbal Esteban
- Individualized Treat
- Yoshua Bengio
- Yann LeCun
- Ali Borji
- Alec Radford
Who trusts Eoin Brophy overall
Papers from Eoin Brophy's perspective
Ordered by how strongly the researchers Eoin Brophy trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Quick and Easy Time Series Generation with Established Image-based GANs (2019) — 46 citations
- Generative Adversarial Networks in Time Series: A Systematic Literature Review (2022) — 292 citations
- Synthesis of Realistic ECG using Generative Adversarial Networks (2019) — 104 citations